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Branch: release/2.5
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PaddleDetection/deploy/cpp
wangguanzhong de21c2789c
[cherry-pick] add third party libs for cpp infer (#6992) 		1 year ago
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cmake dygraph -> root (#2400) 3 years ago
docs add release/2.5 branch, test=document_fix 1 year ago
include [dev] add ppyoloe_plus configs and alter NormalizeImage (#6675) 1 year ago
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src [dev] add ppyoloe_plus configs and alter NormalizeImage (#6675) 1 year ago
CMakeLists.txt [cherry-pick] add third party libs for cpp infer (#6992) 1 year ago
README.md update doc, test=document_fix (#3049) 3 years ago

README.md

C++端预测部署

各环境编译部署教程

C++部署总览

1.说明

2.主要目录和文件

1.说明

本目录为用户提供一个跨平台的C++部署方案，让用户通过PaddleDetection训练的模型导出后，即可基于本项目快速运行，也可以快速集成代码结合到自己的项目实际应用中去。

主要设计的目标包括以下四点：

  • 跨平台，支持在 Windows 和 Linux 完成编译、二次开发集成和部署运行
  • 可扩展性，支持用户针对新模型开发自己特殊的数据预处理等逻辑
  • 高性能，除了PaddlePaddle自身带来的性能优势，我们还针对图像检测的特点对关键步骤进行了性能优化
  • 支持各种不同检测模型结构，包括Yolov3/Faster_RCNN/SSD等

2.主要目录和文件

deploy/cpp
|
├── src
│   ├── main.cc # 集成代码示例, 程序入口
│   ├── object_detector.cc # 模型加载和预测主要逻辑封装类实现
│   └── preprocess_op.cc # 预处理相关主要逻辑封装实现
|
├── include
│   ├── config_parser.h # 导出模型配置yaml文件解析
│   ├── object_detector.h # 模型加载和预测主要逻辑封装类
│   └── preprocess_op.h # 预处理相关主要逻辑类封装
|
├── docs
│   ├── linux_build.md # Linux 编译指南
│   └── windows_vs2019_build.md # Windows VS2019编译指南
│
├── build.sh # 编译命令脚本
│
├── CMakeList.txt # cmake编译入口文件
|
├── CMakeSettings.json # Visual Studio 2019 CMake项目编译设置
│
└── cmake # 依赖的外部项目cmake（目前仅有yaml-cpp）
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PaddleDetection是一个基于PaddlePaddle的目标检测端到端开发套件，在提供丰富的模型组件和测试基准的同时，注重端到端的产业落地应用，通过打造产业级特色模型|工具、建设产业应用范例等手段，帮助开发者实现数据准备、模型选型、模型训练、模型部署的全流程打通，快速进行落地应用。

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